| Towards interpretable deep learning: a feature selection framework for prognostics and health management using deep neural networks J Figueroa Barraza, E López Droguett, MR Martins Sensors 21 (17), 5888, 2021 | 38 | 2021 |
| Capsule Neural Networks for structural damage localization and quantification using transmissibility data JF Barraza, EL Droguett, VM Naranjo, MR Martins Applied Soft Computing 97, 106732, 2020 | 21 | 2020 |
| Deep learning health state prognostics of physical assets in the Oil and Gas industry J Figueroa Barraza, L Guarda Bräuning, R Benites Perez, CB Morais, ... Proceedings of the Institution of Mechanical Engineers, Part O: Journal of …, 2022 | 20 | 2022 |
| FS-SCF network: Neural network interpretability based on counterfactual generation and feature selection for fault diagnosis JF Barraza, EL Droguett, MR Martins Expert Systems with Applications 237, 121670, 2024 | 6 | 2024 |
| Research in System Reliability and Risk Analysis under development at the Naval Architecture and Ocean Engineering Department from University of São Paulo D Abreu, JEF Barraza, MV Clavijo, MC Maturana, JR Santos, ... IFAC-PapersOnLine 55 (19), 193-198, 2022 | 2 | 2022 |
| Long short-term memory network for future-state prediction in water injection pump JF Barraza, LFG Bräuning, EL Droguett, MR Martins Proceedings of the 30th European Safety and Reliability Conference and the …, 2020 | 1 | 2020 |
| A capsule neural network based model for structural damage localization and quantification using transmissibilty data JE Figueroa Barraza Universidad de Chile, 2019 | 1 | 2019 |
| SCF-Net: A sparse counterfactual generation network for interpretable fault diagnosis JF Barraza, EL Droguett, MR Martins Reliability Engineering & System Safety 250, 110285, 2024 | | 2024 |
| FS-SCF network:: Neural network interpretability based on counterfactual generation and feature selection for fault diagnosis J Figueroa Barraza, E López Droguett, M Ramos Martins | | 2024 |
| Selections of oil-well configurations at design phase: proposal of integrity and production indicators. JR dos Santos, JEF Barraza, CHB Morais, DTMP de Abreu, LFG Brauning, ... | | 2023 |
| Interpretable Prognostics and Health Management Through Counterfactual Generation J Figueroa Barraza, E López Droguett, M Ramos Martins 32nd European Safety and Reliability Conference (ESREL 2022), 2022 | | 2022 |
| Frameworks for interpretability of deep learning-based prognostics and health management JE Figueroa Barraza Universidade de São Paulo, 2022 | | 2022 |
| Embedded Feature Importance Determination Technique for Deep Neural Networks-Based Prognostics and Health Management J Figueroa Barraza, E López Droguett, M Ramos Martins 31st European Safety and Reliability Conference, 2021 | | 2021 |
| Application of long short-term memory neural networks for co2 concentration forecast on amine plants LFG Brauning, CHB Morais, JEF Barraza, MR Martins, EL Droguett Research Publishing, Singapore, 2020 | | 2020 |
